One of the major features coming to MySQL 8.0 is the support of
Window functions. The detailed documentation is already
available here Window functions. I wanted to take a quick
look at the cases where window functions help.

Probably one the most frequent limitations in MySQL SQL syntax
was analyzing a dataset. I tried to find the answer to the
following question: “Find the Top N entries for each group in a
grouped result.”

To give an example, I will refer to this request on Stackoverflow. While there is a solution, it …

I've decided to stop reviewing MySQL Release Notes in this
series, but it does not mean that I am not interested in MySQL
bugs any more. At the moment I am subscribed to 91 active MySQL
bugs reported by other MySQL users, and in this blog post I am
going to present 15 of them, the most recently reported ones. I'd
really want to see them fixed or at least properly processed as
soon as possible.

In some cases I am going to add my speculations on how the bug
had better be handled, or maybe highlight some important details
about it. It is not my job any more to process/"verify" any
community bug reports for any kind of MySQL, but I did that for
many years and I've spent more than 5 years "on the other side",
being a member of Community, so in some cases I let myself to
share some strong opinion on what may be done …

MySQL will have Windowing functions and CTEs which will mean it
will be easier to do data analysis with MySQL. You can now make
calculations on data from each row in a query plus rows related
to that row. Windows will make it easier to group items when
GROUP BY does not meet needs. This is a great breakthrough
but the new documentation has a steep learning curve if you are
starting from zero. Hopefully this and following blogs will make
it easier to get started with Windowing Functions. OVER &
WINDOW as a keywords Let's start with the world_x sample
database. The sample below orders the city table by the
CountryCode but notice the window w as (order by
CountryCode) phrase. This sets up a group for analysis, or a
window on the data. For this example we will get the row
number, rank, and dense rank of the data in that group. So for
CountryCode of ABW we get a row number of 1, rank
of 1, …

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